{"pageNumber":"904","pageRowStart":"22575","pageSize":"25","recordCount":184904,"records":[{"id":70197106,"text":"70197106 - 2018 - Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness","interactions":[],"lastModifiedDate":"2018-05-17T11:32:52","indexId":"70197106","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness","docAbstract":"And Then There Were None: The Demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness. Paul R.Krausman. 2017. The University of New Mexico Press, Albuquerque, New Mexico, USA. 248 pp. $65.00 hardcover. ISBN 978‐0‐8263‐5785‐4.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21401","usgsCitation":"Cain, J.W., 2018, Book Review: And then there were none: The demise of Desert Bighorn Sheep in the Pusch Ridge Wilderness: Journal of Wildlife Management, v. 82, no. 2, p. 475-476, https://doi.org/10.1002/jwmg.21401.","productDescription":"2 p.","startPage":"475","endPage":"476","ipdsId":"IP-091658","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354258,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-15","publicationStatus":"PW","scienceBaseUri":"5afee73fe4b0da30c1bfc1c5","contributors":{"authors":[{"text":"Cain, James W. III 0000-0003-4743-516X jwcain@usgs.gov","orcid":"https://orcid.org/0000-0003-4743-516X","contributorId":4063,"corporation":false,"usgs":true,"family":"Cain","given":"James","suffix":"III","email":"jwcain@usgs.gov","middleInitial":"W.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":735613,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70195193,"text":"70195193 - 2018 - The suitability of using dissolved gases to determine groundwater discharge to high gradient streams","interactions":[],"lastModifiedDate":"2018-02-07T13:08:28","indexId":"70195193","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2342,"text":"Journal of Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"The suitability of using dissolved gases to determine groundwater discharge to high gradient streams","docAbstract":"Determining groundwater discharge to streams using dissolved gases is known to be useful over a wide range of streamflow rates but the suitability of dissolved gas methods to determine discharge rates in high gradient mountain streams has not been sufficiently tested, even though headwater streams are critical as ecological habitats and water resources. The aim of this study is to test the suitability of using dissolved gases to determine groundwater discharge rates to high gradient streams by field experiments in a well-characterized, high gradient mountain stream and a literature review. At a reach scale (550 m) we combined stream and groundwater radon activity measurements with an in-stream SF6 tracer test. By means of numerical modeling we determined gas exchange velocities and derived very low groundwater discharge rates (∼15% of streamflow). These groundwater discharge rates are below the uncertainty range of physical streamflow measurements and consistent with temperature, specific conductance and streamflow measured at multiple locations along the reach. At a watershed-scale (4 km), we measured CFC-12 and δ18O concentrations and determined gas exchange velocities and groundwater discharge rates with the same numerical model. The groundwater discharge rates along the 4 km stream reach were highly variable, but were consistent with the values derived in the detailed study reach. Additionally, we synthesized literature values of gas exchange velocities for different stream gradients which show an empirical relationship that will be valuable in planning future dissolved gas studies on streams with various gradients. In sum, we show that multiple dissolved gas tracers can be used to determine groundwater discharge to high gradient mountain streams from reach to watershed scales.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jhydrol.2017.12.022","usgsCitation":"Gleeson, T., Manning, A.H., Popp, A., Zane, M., and Clark, J.F., 2018, The suitability of using dissolved gases to determine groundwater discharge to high gradient streams: Journal of Hydrology, v. 557, p. 561-572, https://doi.org/10.1016/j.jhydrol.2017.12.022.","productDescription":"12 p.","startPage":"561","endPage":"572","ipdsId":"IP-071701","costCenters":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"links":[{"id":469056,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://escholarship.org/uc/item/82x8s2wg","text":"External Repository"},{"id":351246,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"California","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -120.3167,\n 39.4\n ],\n [\n -120.2167,\n 39.4\n ],\n [\n -120.2167,\n 39.4667\n ],\n [\n -120.3167,\n 39.4667\n ],\n [\n -120.3167,\n 39.4\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"557","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292dc","contributors":{"authors":[{"text":"Gleeson, Tom","contributorId":42694,"corporation":false,"usgs":false,"family":"Gleeson","given":"Tom","affiliations":[{"id":6646,"text":"McGill University","active":true,"usgs":false}],"preferred":false,"id":727373,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":727372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Popp, Andrea","contributorId":202011,"corporation":false,"usgs":false,"family":"Popp","given":"Andrea","email":"","affiliations":[{"id":35133,"text":"University of Freiburg, Freiburg, Germany","active":true,"usgs":false}],"preferred":false,"id":727374,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Zane, Mathew","contributorId":202012,"corporation":false,"usgs":false,"family":"Zane","given":"Mathew","email":"","affiliations":[{"id":36321,"text":"Department of Geological Sciences, University of California, Santa Barbara, California","active":true,"usgs":false}],"preferred":false,"id":727375,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Clark, Jordan F.","contributorId":202013,"corporation":false,"usgs":false,"family":"Clark","given":"Jordan","email":"","middleInitial":"F.","affiliations":[{"id":36321,"text":"Department of Geological Sciences, University of California, Santa Barbara, California","active":true,"usgs":false}],"preferred":false,"id":727376,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70195430,"text":"70195430 - 2018 - Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts","interactions":[],"lastModifiedDate":"2018-02-14T13:31:00","indexId":"70195430","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1475,"text":"Ecosphere","active":true,"publicationSubtype":{"id":10}},"title":"Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts","docAbstract":"Many different factors influence animal activity. Often, the value of an environmental variable may influence significantly the upper or lower tails of the activity distribution. For describing relationships with heterogeneous boundaries, quantile regressions predict a quantile of the conditional distribution of the dependent variable. A quantile count model extends linear quantile regression methods to discrete response variables, and is useful if activity is quantified by trapping, where there may be many tied (equal) values in the activity distribution, over a small range of discrete values. Additionally, different environmental variables in combination may have synergistic or antagonistic effects on activity, so examining their effects together, in a modeling framework, is a useful approach. Thus, model selection on quantile counts can be used to determine the relative importance of different variables in determining activity, across the entire distribution of capture results. We conducted model selection on quantile count models to describe the factors affecting activity (numbers of captures) of cane toads (Rhinella marina) in response to several environmental variables (humidity, temperature, rainfall, wind speed, and moon luminosity) over eleven months of trapping. Environmental effects on activity are understudied in this pest animal. In the dry season, model selection on quantile count models suggested that rainfall positively affected activity, especially near the lower tails of the activity distribution. In the wet season, wind speed limited activity near the maximum of the distribution, while minimum activity increased with minimum temperature. This statistical methodology allowed us to explore, in depth, how environmental factors influenced activity across the entire distribution, and is applicable to any survey or trapping regime, in which environmental variables affect activity.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecs2.2067","usgsCitation":"Muller, B.J., Cade, B.S., and Schwarzkoph, L., 2018, Effects of environmental variables on invasive amphibian activity: Using model selection on quantiles for counts: Ecosphere, v. 9, no. 1, p. 1-14, https://doi.org/10.1002/ecs2.2067.","productDescription":"Article e02067; 14 p.","startPage":"1","endPage":"14","ipdsId":"IP-092621","costCenters":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"links":[{"id":469073,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ecs2.2067","text":"Publisher Index Page"},{"id":351611,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"9","issue":"1","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-05","publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc203","contributors":{"authors":[{"text":"Muller, Benjamin J.","contributorId":202492,"corporation":false,"usgs":false,"family":"Muller","given":"Benjamin","email":"","middleInitial":"J.","affiliations":[{"id":36457,"text":"Centre for Tropical Biodiversity and Climate Change, James Cook University, Townsville, Quensland, Australia","active":true,"usgs":false}],"preferred":false,"id":728565,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cade, Brian S. 0000-0001-9623-9849 cadeb@usgs.gov","orcid":"https://orcid.org/0000-0001-9623-9849","contributorId":1278,"corporation":false,"usgs":true,"family":"Cade","given":"Brian","email":"cadeb@usgs.gov","middleInitial":"S.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":728564,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schwarzkoph, Lin","contributorId":202493,"corporation":false,"usgs":false,"family":"Schwarzkoph","given":"Lin","email":"","affiliations":[{"id":36458,"text":"College of Science and Engineering, James Cook University, Townsville, Queensland, Australia","active":true,"usgs":false}],"preferred":false,"id":728566,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70194994,"text":"70194994 - 2018 - Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","interactions":[],"lastModifiedDate":"2018-02-01T17:03:36","indexId":"70194994","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1467,"text":"Ecology and Evolution","active":true,"publicationSubtype":{"id":10}},"title":"Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality","docAbstract":"Implicit and explicit use of expert knowledge to inform ecological analyses is becoming increasingly common because it often represents the sole source of information in many circumstances. Thus, there is a need to develop statistical methods that explicitly incorporate expert knowledge, and can successfully leverage this information while properly accounting for associated uncertainty during analysis. Studies of cause-specific mortality provide an example of implicit use of expert knowledge when causes-of-death are uncertain and assigned based on the observer's knowledge of the most likely cause. To explicitly incorporate this use of expert knowledge and the associated uncertainty, we developed a statistical model for estimating cause-specific mortality using a data augmentation approach within a Bayesian hierarchical framework. Specifically, for each mortality event, we elicited the observer's belief of cause-of-death by having them specify the probability that the death was due to each potential cause. These probabilities were then used as prior predictive values within our framework. This hierarchical framework permitted a simple and rigorous estimation method that was easily modified to include covariate effects and regularizing terms. Although applied to survival analysis, this method can be extended to any event-time analysis with multiple event types, for which there is uncertainty regarding the true outcome. We conducted simulations to determine how our framework compared to traditional approaches that use expert knowledge implicitly and assume that cause-of-death is specified accurately. Simulation results supported the inclusion of observer uncertainty in cause-of-death assignment in modeling of cause-specific mortality to improve model performance and inference. Finally, we applied the statistical model we developed and a traditional method to cause-specific survival data for white-tailed deer, and compared results. We demonstrate that model selection results changed between the two approaches, and incorporating observer knowledge in cause-of-death increased the variability associated with parameter estimates when compared to the traditional approach. These differences between the two approaches can impact reported results, and therefore, it is critical to explicitly incorporate expert knowledge in statistical methods to ensure rigorous inference.
","language":"English","publisher":"Wiley","doi":"10.1002/ece3.3701","usgsCitation":"Walsh, D.P., Norton, A.S., Storm, D.J., Van Deelen, T.R., and Heisy, D.M., 2018, Using expert knowledge to incorporate uncertainty in cause-of-death assignments for modeling of cause-specific mortality: Ecology and Evolution, v. 8, no. 1, p. 509-520, https://doi.org/10.1002/ece3.3701.","productDescription":"12 p.","startPage":"509","endPage":"520","ipdsId":"IP-090309","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":461055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/ece3.3701","text":"Publisher Index Page"},{"id":350936,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"1","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-30","publicationStatus":"PW","scienceBaseUri":"5a74357de4b0a9a2e9e25c72","contributors":{"authors":[{"text":"Walsh, Daniel P. 0000-0002-7772-2445 dwalsh@usgs.gov","orcid":"https://orcid.org/0000-0002-7772-2445","contributorId":4758,"corporation":false,"usgs":true,"family":"Walsh","given":"Daniel","email":"dwalsh@usgs.gov","middleInitial":"P.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":726489,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Norton, Andrew S.","contributorId":171631,"corporation":false,"usgs":false,"family":"Norton","given":"Andrew","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":726490,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Storm, Daniel J.","contributorId":171373,"corporation":false,"usgs":false,"family":"Storm","given":"Daniel","email":"","middleInitial":"J.","affiliations":[{"id":24576,"text":"University of Wisconsin, Madison, WI","active":true,"usgs":false}],"preferred":false,"id":726491,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Van Deelen, Timothy R.","contributorId":145413,"corporation":false,"usgs":false,"family":"Van Deelen","given":"Timothy","email":"","middleInitial":"R.","affiliations":[{"id":7122,"text":"University of Wisconsin","active":true,"usgs":false}],"preferred":false,"id":726492,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Heisy, Dennis M.","contributorId":201572,"corporation":false,"usgs":false,"family":"Heisy","given":"Dennis","email":"","middleInitial":"M.","affiliations":[{"id":36206,"text":"Retired","active":true,"usgs":false}],"preferred":false,"id":726493,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70194991,"text":"70194991 - 2018 - Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient","interactions":[],"lastModifiedDate":"2018-03-05T15:32:47","indexId":"70194991","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1465,"text":"Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient","docAbstract":"A trade-off between competitive ability and stress tolerance has been hypothesized and empirically supported to explain the zonation of species across stress gradients for a number of systems. Since stress often reduces plant productivity, one might expect a pattern of decreasing productivity across the zones of the stress gradient. However, this pattern is often not observed in coastal wetlands that show patterns of zonation along a salinity gradient. To address the potentially complex relationship between stress, zonation, and productivity in coastal wetlands, we developed a model of plant biomass as a function of resource competition and salinity stress. Analysis of the model confirms the conventional wisdom that a trade-off between competitive ability and stress tolerance is a necessary condition for zonation. It also suggests that a negative relationship between salinity and production can be overcome if (1) the supply of the limiting resource increases with greater salinity stress or (2) nutrient use efficiency increases with increasing salinity. We fit the equilibrium solution of the dynamic model to data from Louisiana coastal wetlands to test its ability to explain patterns of production across the landscape gradient and derive predictions that could be tested with independent data. We found support for a number of the model predictions, including patterns of decreasing competitive ability and increasing nutrient use efficiency across a gradient from freshwater to saline wetlands. In addition to providing a quantitative framework to support the mechanistic hypotheses of zonation, these results suggest that this simple model is a useful platform to further build upon, simulate and test mechanistic hypotheses of more complex patterns and phenomena in coastal wetlands.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/ecy.2131","usgsCitation":"Schoolmaster, D., and Stagg, C.L., 2018, Resource competition model predicts zonation and increasing nutrient use efficiency along a wetland salinity gradient: Ecology, v. 99, no. 3, p. 670-680, https://doi.org/10.1002/ecy.2131.","productDescription":"11 p.","startPage":"670","endPage":"680","ipdsId":"IP-089350","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":350913,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -95.09765625,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 28.459033019728043\n ],\n [\n -88.330078125,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 31.11879439598953\n ],\n [\n -95.09765625,\n 28.459033019728043\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"99","issue":"3","publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-30","publicationStatus":"PW","scienceBaseUri":"5a74357fe4b0a9a2e9e25c78","contributors":{"authors":[{"text":"Schoolmaster, Donald 0000-0003-0910-4458 schoolmasterd@usgs.gov","orcid":"https://orcid.org/0000-0003-0910-4458","contributorId":156350,"corporation":false,"usgs":true,"family":"Schoolmaster","given":"Donald","email":"schoolmasterd@usgs.gov","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726426,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stagg, Camille L. 0000-0002-1125-7253 staggc@usgs.gov","orcid":"https://orcid.org/0000-0002-1125-7253","contributorId":4111,"corporation":false,"usgs":true,"family":"Stagg","given":"Camille","email":"staggc@usgs.gov","middleInitial":"L.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":726427,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70195393,"text":"70195393 - 2018 - On factors influencing air-water gas exchange in emergent wetlands","interactions":[],"lastModifiedDate":"2018-02-23T11:13:10","indexId":"70195393","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2319,"text":"Journal of Geophysical Research G: Biogeosciences","active":true,"publicationSubtype":{"id":10}},"title":"On factors influencing air-water gas exchange in emergent wetlands","docAbstract":"Knowledge of gas exchange in wetlands is important in order to determine fluxes of climatically and biogeochemically important trace gases and to conduct mass balances for metabolism studies. Very few studies have been conducted to quantify gas transfer velocities in wetlands, and many wind speed/gas exchange parameterizations used in oceanographic or limnological settings are inappropriate under conditions found in wetlands. Here six measurements of gas transfer velocities are made with SF6 tracer release experiments in three different years in the Everglades, a subtropical peatland with surface water flowing through emergent vegetation. The experiments were conducted under different flow conditions and with different amounts of emergent vegetation to determine the influence of wind, rain, water flow, waterside thermal convection, and vegetation on air-water gas exchange in wetlands. Measured gas transfer velocities under the different conditions ranged from 1.1 cm h−1 during baseline conditions to 3.2 cm h−1 when rain and water flow rates were high. Commonly used wind speed/gas exchange relationships would overestimate the gas transfer velocity by a factor of 1.2 to 6.8. Gas exchange due to thermal convection was relatively constant and accounted for 14 to 51% of the total measured gas exchange. Differences in rain and water flow among the different years were responsible for the variability in gas exchange, with flow accounting for 37 to 77% of the gas exchange, and rain responsible for up to 40%.
","language":"English","publisher":"American Geophysical Union","doi":"10.1002/2017JG004299","usgsCitation":"Ho, D.T., Engel, V.C., Ferron, S., Hickman, B., Choi, J., and Harvey, J.W., 2018, On factors influencing air-water gas exchange in emergent wetlands: Journal of Geophysical Research G: Biogeosciences, v. 123, no. 1, p. 178-192, https://doi.org/10.1002/2017JG004299.","productDescription":"15 p.","startPage":"178","endPage":"192","ipdsId":"IP-093042","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":469055,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/2017jg004299","text":"Publisher Index Page"},{"id":351532,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Florida","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -80.63,\n 25.84\n ],\n [\n -80.60,\n 25.84\n ],\n [\n -80.60,\n 25.87\n ],\n [\n -80.63,\n 25.87\n ],\n [\n -80.63,\n 25.84\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"123","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-24","publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc205","contributors":{"authors":[{"text":"Ho, David T.","contributorId":202425,"corporation":false,"usgs":false,"family":"Ho","given":"David","email":"","middleInitial":"T.","affiliations":[{"id":36430,"text":"University of Hawaii, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":728385,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Engel, Victor C. 0000-0002-3858-7308","orcid":"https://orcid.org/0000-0002-3858-7308","contributorId":202426,"corporation":false,"usgs":false,"family":"Engel","given":"Victor","email":"","middleInitial":"C.","affiliations":[{"id":36431,"text":"U.S. Forest Service, Fort Collins","active":true,"usgs":false}],"preferred":false,"id":728386,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ferron, Sara","contributorId":199936,"corporation":false,"usgs":false,"family":"Ferron","given":"Sara","email":"","affiliations":[],"preferred":false,"id":728387,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hickman, Benjamin","contributorId":202427,"corporation":false,"usgs":false,"family":"Hickman","given":"Benjamin","email":"","affiliations":[{"id":36430,"text":"University of Hawaii, Honolulu, Hawaii","active":true,"usgs":false}],"preferred":false,"id":728388,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Choi, Jay jchoi@usgs.gov","contributorId":4731,"corporation":false,"usgs":true,"family":"Choi","given":"Jay","email":"jchoi@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728389,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":728384,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70195024,"text":"70195024 - 2018 - The northern pike, a prized native but disastrous invasive: Chapter 14","interactions":[],"lastModifiedDate":"2018-02-13T14:45:43","indexId":"70195024","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"The northern pike, a prized native but disastrous invasive: Chapter 14","docAbstract":"As the chapters in this book describe, the northern pike Esox lucius Linneaus, 1758 is a fascinating fish that plays an important ecological role in structuring aquatic communities (chapter 8), has the capacity to aid lake restoration efforts (chapter 11), and contributes substantially to local economies, both as a highlysought after sport fish (chapter 12) and as a commercial fishing resource (chapter 13). However, despite the magnificent attributes of this fish, there is another side to its story. Specifically, what happens when northern pike, a highly efficient predator, becomes established outside its natural range? To explore this question, this chapter will investigate observed consequences from many locations where northern pike (hereafter referred to as “pike”) have been introduced and discuss potential reasons why pike, under the right circumstances, can be considered an invasive species.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Biology and ecology of pike","language":"English","publisher":"CRC Press","isbn":"9781482262902","usgsCitation":"Rutz, D., Massengill, R.L., Sepulveda, A.J., and Dunker, K.J., 2018, The northern pike, a prized native but disastrous invasive: Chapter 14, chap. of Biology and ecology of pike, 43 p.","productDescription":"43 p.","ipdsId":"IP-081440","costCenters":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"links":[{"id":350996,"type":{"id":15,"text":"Index Page"},"url":"https://www.crcpress.com/Biology-and-Ecology-of-Pike/Skov-Nilsson/p/book/9781482262902"},{"id":351546,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc20b","contributors":{"authors":[{"text":"Rutz, David","contributorId":201636,"corporation":false,"usgs":false,"family":"Rutz","given":"David","affiliations":[{"id":36220,"text":"Alaska Department of Fish & Game","active":true,"usgs":false}],"preferred":false,"id":726631,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Massengill, Robert L.","contributorId":174630,"corporation":false,"usgs":false,"family":"Massengill","given":"Robert","email":"","middleInitial":"L.","affiliations":[{"id":7058,"text":"Alaska Department of Fish and Game","active":true,"usgs":false}],"preferred":false,"id":726630,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sepulveda, Adam J. 0000-0001-7621-7028 asepulveda@usgs.gov","orcid":"https://orcid.org/0000-0001-7621-7028","contributorId":150628,"corporation":false,"usgs":true,"family":"Sepulveda","given":"Adam","email":"asepulveda@usgs.gov","middleInitial":"J.","affiliations":[{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":726628,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Dunker, Kristine J.","contributorId":38864,"corporation":false,"usgs":false,"family":"Dunker","given":"Kristine","email":"","middleInitial":"J.","affiliations":[{"id":6770,"text":"Alaska Department of Fish & Game, Division of Commercial Fish, Soldotna, AK 99669","active":true,"usgs":false}],"preferred":false,"id":726629,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70196755,"text":"70196755 - 2018 - Seventy years of stream‐fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed","interactions":[],"lastModifiedDate":"2018-04-30T10:24:31","indexId":"70196755","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1399,"text":"Diversity and Distributions","active":true,"publicationSubtype":{"id":10}},"title":"Seventy years of stream‐fish collections reveal invasions and native range contractions in an Appalachian (USA) watershed","docAbstract":"Aim
Knowledge of expanding and contracting ranges is critical for monitoring invasions and assessing conservation status, yet reliable data on distributional trends are lacking for most freshwater species. We developed a quantitative technique to detect the sign (expansion or contraction) and functional form of range‐size changes for freshwater species based on collections data, while accounting for possible biases due to variable collection effort. We applied this technique to quantify stream‐fish range expansions and contractions in a highly invaded river system.
Location
Upper and middle New River (UMNR) basin, Appalachian Mountains, USA.
Methods
We compiled a 77‐year stream‐fish collections dataset partitioned into ten time periods. To account for variable collection effort among time periods, we aggregated the collections into 100 watersheds and expressed a species’ range size as detections per watershed (HUC) sampled (DPHS). We regressed DPHS against time by species and used an information‐theoretic approach to compare linear and nonlinear functional forms fitted to the data points and to classify each species as spreader, stable or decliner.
Results
We analysed changes in range size for 74 UMNR fishes, including 35 native and 39 established introduced species. We classified the majority (51%) of introduced species as spreaders, compared to 31% of natives. An exponential functional form fits best for 84% of spreaders. Three natives were among the most rapid spreaders. All four decliners were New River natives.
Main conclusions
Our DPHS‐based approach facilitated quantitative analyses of distributional trends for stream fishes based on collections data. Partitioning the dataset into multiple time periods allowed us to distinguish long‐term trends from population fluctuations and to examine nonlinear forms of spread. Our framework sets the stage for further study of drivers of stream‐fish invasions and declines in the UMNR and is widely transferable to other freshwater taxa and geographic regions.
The lesser prairie‐chicken (Tympanuchus pallidicinctus), a species of conservation concern with uncertain regulatory status, has experienced population declines over the past century. Most research on lesser prairie‐chickens has focused on the breeding season, with little research conducted during the nonbreeding season, a period that exerts a strong influence on demography in other upland game birds. We trapped lesser prairie‐chickens on leks and marked them with either global positioning system (GPS) satellite or very high frequency (VHF) transmitters to estimate survival and home‐range size during the nonbreeding season. We monitored 119 marked lesser prairie‐chickens in 3 study areas in Kansas, USA, from 16 September to 14 March in 2013, 2014, and 2015. We estimated home‐range size using Brownian Bridge movement models (GPS transmitters) and fixed kernel density estimators (VHF transmitters), and female survival using Kaplan–Meier known‐fate models. Average home‐range size did not differ between sexes. Estimated home‐range size was 3 times greater for individuals fitted with GPS satellite transmitters (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0005\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/2c179701-0c60-4087-af50-64559b0fd382/jwmg21390-math-0005.png\")
= 997 ha) than those with VHF transmitters (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0006\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/cc4a0e9f-303f-46fa-be8a-d33cc178cb68/jwmg21390-math-0006.png\")
= 286 ha), likely a result of the temporal resolution of the different transmitters. Home‐range size of GPS‐marked birds increased 2.8 times relative to the breeding season and varied by study area and year. Home‐range size was smaller in the 2013–2014 nonbreeding season (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0007\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/a0f30e98-ec64-4508-b33d-1542b38220ab/jwmg21390-math-0007.png\")
= 495 ha) than the following 2 nonbreeding seasons (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0008\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/c03a4caf-700f-42dd-bf54-a854ed5a9525/jwmg21390-math-0008.png\")
= 1,290 ha and ![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0009\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/dce88549-9369-4fd1-bf50-79ba36e8f234/jwmg21390-math-0009.png\")
= 1,158 ha), corresponding with drought conditions of 2013, which were alleviated in following years. Female survival (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0010\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/0ec2e8c9-c112-4a67-9a9a-7760150fcb5c/jwmg21390-math-0010.png\")
) was high relative to breeding season estimates, and did not differ by study area or year (![\"urn:x-wiley:14381656:media:jwmg21390:jwmg21390-math-0011\"](\"https://wol-prod-cdn.literatumonline.com/cms/attachment/f668f7c3-5042-40ca-90d1-23a4855bd972/jwmg21390-math-0011.png\")
= 0.73 ± 0.04 [SE]). Future management could remain focused on the breeding season because nonbreeding survival was 39–44% greater than the previous breeding season; however, considerations of total space needs would benefit lesser prairie‐chickens by accounting for the greater spatial requirements during the nonbreeding season.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21390","usgsCitation":"Robinson, S.G., Haukos, D.A., Plumb, R.T., Lautenbach, J.M., Sullins, D.S., Kraft, J.D., Lautenbach, J.D., Hagen, C.A., and Pitman, J.C., 2018, Nonbreeding home‐range size and survival of lesser prairie‐chickens: Journal of Wildlife Management, v. 82, no. 2, p. 413-423, https://doi.org/10.1002/jwmg.21390.","productDescription":"11 p.","startPage":"413","endPage":"423","ipdsId":"IP-087792","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469065,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1002/jwmg.21390","text":"Publisher Index Page"},{"id":354202,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Kansas","county":"Clark County, Comanche County, Gove County, Kiowa County, Logan County","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-99.0135,37.3849],[-99.0008,37.3849],[-99.0005,37.0008],[-99.4004,37.0001],[-99.4516,37],[-99.5399,36.9998],[-100.0009,36.9985],[-100.0024,36.9985],[-100.0902,36.9983],[-100.0898,37.3855],[-100.106,37.3862],[-100.1068,37.4751],[-99.5557,37.4689],[-99.5584,37.7354],[-99.0142,37.7339],[-99.0136,37.471],[-99.0135,37.3849]]],[[[-100.7201,39.1338],[-100.7005,39.1333],[-100.6086,39.1335],[-100.589,39.1329],[-100.497,39.1331],[-100.4775,39.1329],[-100.3867,39.1325],[-100.3689,39.1328],[-100.2757,39.1319],[-100.2585,39.1321],[-100.1642,39.1321],[-100.1488,39.1318],[-100.1543,38.6966],[-100.2481,38.6976],[-100.4687,38.6988],[-100.5772,38.6997],[-100.5973,38.7003],[-100.6882,38.7037],[-100.8168,38.7032],[-101.1293,38.7001],[-101.485,38.7002],[-101.4779,39.1339],[-101.3913,39.1345],[-101.3669,39.1342],[-101.2791,39.1344],[-101.2548,39.1345],[-101.1664,39.1346],[-101.1438,39.1342],[-101.0554,39.1346],[-101.0334,39.1346],[-100.9444,39.1342],[-100.8323,39.1336],[-100.8121,39.133],[-100.7201,39.1338]]]]},\"properties\":{\"name\":\"Clark\",\"state\":\"KS\"}}]}","volume":"82","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-10-27","publicationStatus":"PW","scienceBaseUri":"5afee73fe4b0da30c1bfc1c7","contributors":{"authors":[{"text":"Robinson, Samantha G.","contributorId":172786,"corporation":false,"usgs":false,"family":"Robinson","given":"Samantha","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":735457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Haukos, David A. 0000-0001-5372-9960 dhaukos@usgs.gov","orcid":"https://orcid.org/0000-0001-5372-9960","contributorId":3664,"corporation":false,"usgs":true,"family":"Haukos","given":"David","email":"dhaukos@usgs.gov","middleInitial":"A.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":735146,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Plumb, Reid T.","contributorId":172787,"corporation":false,"usgs":false,"family":"Plumb","given":"Reid","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":735458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lautenbach, Joseph M.","contributorId":172788,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Joseph","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735459,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sullins, Daniel S.","contributorId":166689,"corporation":false,"usgs":false,"family":"Sullins","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735460,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Kraft, John D.","contributorId":172789,"corporation":false,"usgs":false,"family":"Kraft","given":"John","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735461,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Lautenbach, Jonathan D.","contributorId":172790,"corporation":false,"usgs":false,"family":"Lautenbach","given":"Jonathan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":735462,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hagen, Christian A.","contributorId":177795,"corporation":false,"usgs":false,"family":"Hagen","given":"Christian","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":735463,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Pitman, James C.","contributorId":40529,"corporation":false,"usgs":true,"family":"Pitman","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":735464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}}
,{"id":70196794,"text":"70196794 - 2018 - Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","interactions":[],"lastModifiedDate":"2018-05-01T15:35:11","indexId":"70196794","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1571,"text":"Environmental Toxicology and Chemistry","active":true,"publicationSubtype":{"id":10}},"title":"Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill","docAbstract":"Avian mortality events are common following large‐scale oil spills. However, the sublethal effects of oil on birds exposed to light external oiling are not clearly understood. We found that American oystercatchers (area of potential impact n = 42, reference n = 21), black skimmers (area of potential impact n = 121, reference n = 88), brown pelicans (area of potential impact n = 91, reference n = 48), and great egrets (area of potential impact n = 57, reference n = 47) captured between 20 June 2010 and 23 February 2011 following the Deepwater Horizon oil spill experienced oxidative injury to erythrocytes, had decreased volume of circulating erythrocytes, and showed evidence of a regenerative hematological response in the form of increased reticulocytes compared with reference populations. Erythrocytic inclusions consistent with Heinz bodies were present almost exclusively in birds from sites impacted with oil, a finding pathognomonic for oxidative injury to erythrocytes. Average packed cell volumes were 4 to 19% lower and average reticulocyte counts were 27 to 40% higher in birds with visible external oil than birds from reference sites. These findings provide evidence that small amounts of external oil exposure are associated with hemolytic anemia. Furthermore, we found that some birds captured from the area impacted by the spill but with no visible oiling also had erythrocytic inclusion bodies, increased reticulocytes, and reduced packed cell volumes when compared with birds from reference sites. Thus, birds suffered hematologic injury despite no visible oil at the time of capture. Together, these findings suggest that adverse effects of oil spills on birds may be more widespread than estimates based on avian mortality or severe visible oiling.
","language":"English","publisher":"Society of Environmental Toxicology and Chemistry","doi":"10.1002/etc.3983","usgsCitation":"Fallon, J.A., Smith, E.P., Schoch, N., Paruk, J.D., Adams, E.A., Evers, D.C., Jodice, P.G., Perkins, C., Schulte, S., and Hopkins, W., 2018, Hematological indices of injury to lightly oiled birds from the Deepwater Horizon oil spill: Environmental Toxicology and Chemistry, v. 37, no. 2, p. 451-461, https://doi.org/10.1002/etc.3983.","productDescription":"11 p.","startPage":"451","endPage":"461","ipdsId":"IP-080696","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353896,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"37","issue":"2","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-01","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d1","contributors":{"authors":[{"text":"Fallon, Jesse A.","contributorId":177315,"corporation":false,"usgs":false,"family":"Fallon","given":"Jesse","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smith, Eric P.","contributorId":204598,"corporation":false,"usgs":false,"family":"Smith","given":"Eric","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":734467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Schoch, Nina","contributorId":101988,"corporation":false,"usgs":true,"family":"Schoch","given":"Nina","email":"","affiliations":[],"preferred":false,"id":734468,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Paruk, James D.","contributorId":127670,"corporation":false,"usgs":false,"family":"Paruk","given":"James","email":"","middleInitial":"D.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734469,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Adams, Evan A.","contributorId":204599,"corporation":false,"usgs":false,"family":"Adams","given":"Evan","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":734470,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Evers, David C.","contributorId":96160,"corporation":false,"usgs":false,"family":"Evers","given":"David","email":"","middleInitial":"C.","affiliations":[{"id":6928,"text":"BioDiversity Research Institute, Gorham, ME 04038","active":true,"usgs":false}],"preferred":false,"id":734471,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jodice, Patrick G.R. 0000-0001-8716-120X pjodice@usgs.gov","orcid":"https://orcid.org/0000-0001-8716-120X","contributorId":200009,"corporation":false,"usgs":true,"family":"Jodice","given":"Patrick","email":"pjodice@usgs.gov","middleInitial":"G.R.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734425,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Perkins, Christopher","contributorId":204600,"corporation":false,"usgs":false,"family":"Perkins","given":"Christopher","affiliations":[],"preferred":false,"id":734472,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Schulte, Shiloh A.","contributorId":39911,"corporation":false,"usgs":true,"family":"Schulte","given":"Shiloh A.","affiliations":[],"preferred":false,"id":734473,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Hopkins, William A.","contributorId":201553,"corporation":false,"usgs":false,"family":"Hopkins","given":"William A.","affiliations":[{"id":12694,"text":"Virginia Tech","active":true,"usgs":false}],"preferred":false,"id":734474,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70195145,"text":"70195145 - 2018 - Sirenian life history","interactions":[],"lastModifiedDate":"2018-02-07T13:50:59","indexId":"70195145","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Sirenian life history","docAbstract":"Sirenians, including the manatees and dugongs, are large herbivorous mammals that have evolved to an aquatic form since the Eocene epoch. Sirenians have unique adaptations, including dense bone for ballast and a longitudinal hemidiaphragm separating paired lungs (which aid in maintaining a horizontal posture in the water column), species-specific rostral deflection, and unique dentition for specialized feeding, which all contribute to their success. All sirenians produce one calf per breeding cycle and have long calf-dependency periods. Low reproduction rates are common for long-lived, large mammals, but may compromise their existence in today’s quickly changing world today. All sirenian populations are listed as either threatened or endangered, and some local stocks have been completely extirpated by human activities.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Encyclopedia of marine mammals","language":"English","publisher":"Academic Press","doi":"10.1016/B978-0-12-804327-1.00230-2","usgsCitation":"Bonde, R.K., 2018, Sirenian life history, chap. of Encyclopedia of marine mammals, p. 859-861, https://doi.org/10.1016/B978-0-12-804327-1.00230-2.","productDescription":"3 p.","startPage":"859","endPage":"861","ipdsId":"IP-076440","costCenters":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true}],"links":[{"id":351281,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":5,"text":"Lafayette PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292e8","contributors":{"authors":[{"text":"Bonde, Robert K. 0000-0001-9179-4376 rbonde@usgs.gov","orcid":"https://orcid.org/0000-0001-9179-4376","contributorId":2675,"corporation":false,"usgs":true,"family":"Bonde","given":"Robert","email":"rbonde@usgs.gov","middleInitial":"K.","affiliations":[{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":566,"text":"Southeast Ecological Science Center","active":true,"usgs":true}],"preferred":true,"id":727154,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70196893,"text":"70196893 - 2018 - Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","interactions":[],"lastModifiedDate":"2018-05-17T15:37:23","indexId":"70196893","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1528,"text":"Environmental Biology of Fishes","active":true,"publicationSubtype":{"id":10}},"title":"Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology","docAbstract":"Life history variation is fundamental to the evolution of Pacific salmon and their persistence under variable conditions. We discovered that Chinook salmon sort themselves into surface- and bottom-oriented groups in tanks within days after exogenous feeding. We hypothesised that this behaviour is correlated with subsequent differences in body morphology and growth (as measured by final length and mass) observed later in life. We found consistent morphological differences between surface and bottom phenotypes. Furthermore, we found that surface and bottom orientation within each group is maintained for at least one year after the phenotypes were separated. These surface and bottom phenotypes are expressed across genetic stocks, brood years, and laboratories and we show that the proportion of surface- and bottom-oriented offspring also differed among families. Importantly, feed delivery location did not affect morphology or growth, and the surface fish were longer than bottom fish at the end of the rearing experiment. The body shape of the former correlates with wild individuals that rear in mainstem habitats and migrate in the fall as subyearlings and the latter resemble those that remain in the upper tributaries and migrate as yearling spring migrants. Our findings suggest that early self-sorting behaviour may have a genetic basis and be correlated with other phenotypic traits that are important indicators for juvenile migration timing.
","language":"English","publisher":"Springer","doi":"10.1007/s10641-017-0702-2","usgsCitation":"Unrein, J.R., Billman, E., Cogliati, K.M., Chitwood, R.S., Noakes, D.L., and Schreck, C.B., 2018, Vertical self-sorting behavior in juvenile Chinook salmon (Oncorhynchus tshawytscha): evidence for family differences and variation in growth and morphology: Environmental Biology of Fishes, v. 101, no. 2, p. 341-353, https://doi.org/10.1007/s10641-017-0702-2.","productDescription":"13 p.","startPage":"341","endPage":"353","ipdsId":"IP-066132","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":354285,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"101","issue":"2","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-02","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1c9","contributors":{"authors":[{"text":"Unrein, Julia R.","contributorId":172777,"corporation":false,"usgs":false,"family":"Unrein","given":"Julia","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":735726,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Billman, E.J.","contributorId":172038,"corporation":false,"usgs":false,"family":"Billman","given":"E.J.","email":"","affiliations":[],"preferred":false,"id":735727,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cogliati, Karen M.","contributorId":200086,"corporation":false,"usgs":false,"family":"Cogliati","given":"Karen","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":735728,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Chitwood, Rob S.","contributorId":172779,"corporation":false,"usgs":false,"family":"Chitwood","given":"Rob","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":735729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Noakes, David L. G.","contributorId":195116,"corporation":false,"usgs":false,"family":"Noakes","given":"David","email":"","middleInitial":"L. G.","affiliations":[],"preferred":false,"id":735730,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schreck, Carl B. 0000-0001-8347-1139 carl.schreck@usgs.gov","orcid":"https://orcid.org/0000-0001-8347-1139","contributorId":878,"corporation":false,"usgs":true,"family":"Schreck","given":"Carl","email":"carl.schreck@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":734925,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70196503,"text":"70196503 - 2018 - Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota","interactions":[],"lastModifiedDate":"2018-04-13T11:10:39","indexId":"70196503","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1565,"text":"Environmental Science & Technology","onlineIssn":"1520-5851","printIssn":"0013-936X","active":true,"publicationSubtype":{"id":10}},"title":"Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota","docAbstract":"New information on the chemical composition of dissolved organic matter (DOM) in three lakes in Minnesota has been gained from spectral editing and two-dimensional nuclear magnetic resonance (NMR) methods, indicating the effects of lake hydrological settings on DOM composition. Williams Lake (WL), Shingobee Lake (SL), and Manganika Lake (ML) had different source inputs, and the lake water residence time (WRT) of WL was markedly longer than that of SL and ML. The hydrophobic organic acid (HPOA) and transphilic organic acid (TPIA) fractions combined comprised >50% of total DOM in these lakes, and contained carboxyl-rich alicyclic molecules (CRAM), aromatics, carbohydrates, and N-containing compounds. The previously understudied TPIA fractions contained fewer aromatics, more oxygen-rich CRAM, and more N-containing compounds compared to the corresponding HPOA. CRAM represented the predominant component in DOM from all lakes studied, and more so in WL than in SL and ML. Aromatics including lignin residues and phenols decreased in relative abundances from ML to SL and WL. Carbohydrates and N-containing compounds were minor components in both HPOA and TPIA and did not show large variations among the three lakes. The increased relative abundances of CRAM in DOM from ML, SL to WL suggested the selective preservation of CRAM with increased residence time.
","language":"English","publisher":"ACS","doi":"10.1021/acs.est.7b04076","usgsCitation":"Cao, X., Aiken, G.R., Butler, K.D., Mao, J., and Schmidt-Rohr, K., 2018, Comparison of the chemical composition of dissolved organic matter in three lakes in Minnesota: Environmental Science & Technology, v. 52, no. 4, p. 1747-1755, https://doi.org/10.1021/acs.est.7b04076.","productDescription":"9 p.","startPage":"1747","endPage":"1755","ipdsId":"IP-090645","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":438033,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F77M06VP","text":"USGS data release","linkHelpText":"Organic Carbon Data in Water Samples from Minnesota Lakes, 2012 to 2013"},{"id":353407,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Minnesota","volume":"52","issue":"4","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2018-02-07","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1db","contributors":{"authors":[{"text":"Cao, Xiaoyan","contributorId":204169,"corporation":false,"usgs":false,"family":"Cao","given":"Xiaoyan","email":"","affiliations":[{"id":36869,"text":"Old Dominion University; Brandeis University","active":true,"usgs":false}],"preferred":false,"id":733289,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Aiken, George R. 0000-0001-8454-0984 graiken@usgs.gov","orcid":"https://orcid.org/0000-0001-8454-0984","contributorId":1322,"corporation":false,"usgs":true,"family":"Aiken","given":"George","email":"graiken@usgs.gov","middleInitial":"R.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733290,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Butler, Kenna D. 0000-0001-9604-4603 kebutler@usgs.gov","orcid":"https://orcid.org/0000-0001-9604-4603","contributorId":178885,"corporation":false,"usgs":true,"family":"Butler","given":"Kenna","email":"kebutler@usgs.gov","middleInitial":"D.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":733288,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mao, Jingdong","contributorId":204171,"corporation":false,"usgs":false,"family":"Mao","given":"Jingdong","email":"","affiliations":[{"id":36518,"text":"Old Dominion University","active":true,"usgs":false}],"preferred":false,"id":733291,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Schmidt-Rohr, Klaus","contributorId":173865,"corporation":false,"usgs":false,"family":"Schmidt-Rohr","given":"Klaus","email":"","affiliations":[{"id":27307,"text":"Dept. of Chemistry, Brandeis University, Waltham, MA","active":true,"usgs":false}],"preferred":false,"id":733292,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70196739,"text":"70196739 - 2018 - Examining fluvial fish range loss with SDMs","interactions":[],"lastModifiedDate":"2018-04-27T13:24:42","indexId":"70196739","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1321,"text":"Conservation Biology","active":true,"publicationSubtype":{"id":10}},"title":"Examining fluvial fish range loss with SDMs","docAbstract":"Fluvial fishes face increased imperilment from anthropogenic activities, but the specific factors contributing most to range declines are often poorly understood. For example, the range of the fluvial‐specialist shoal bass (Micropterus cataractae) continues to decrease, yet how perceived threats have contributed to range loss is largely unknown. We used species distribution models to determine which factors contributed most to shoal bass range loss. We estimated a potential distribution based on natural abiotic factors and a series of currently occupied distributions that incorporated variables characterizing land cover, non‐native species, and river fragmentation intensity (no fragmentation, dams only, and dams and large impoundments). We allowed interspecific relationships between non‐native congeners and shoal bass to vary across fragmentation intensities. Results from the potential distribution model estimated shoal bass presence throughout much of their native basin, whereas models of currently occupied distribution showed that range loss increased as fragmentation intensified. Response curves from models of currently occupied distribution indicated a potential interaction between fragmentation intensity and the relationship between shoal bass and non‐native congeners, wherein non‐natives may be favored at the highest fragmentation intensity. Response curves also suggested that >100 km of interconnected, free‐flowing stream fragments were necessary to support shoal bass presence. Model evaluation, including an independent validation, suggested that models had favorable predictive and discriminative abilities. Similar approaches that use readily available, diverse, geospatial data sets may deliver insights into the biology and conservation needs of other fluvial species facing similar threats.
","language":"English","publisher":"Wiley","doi":"10.1111/cobi.13024","usgsCitation":"Taylor, A.T., Papes, M., and Long, J.M., 2018, Examining fluvial fish range loss with SDMs: Conservation Biology, v. 32, no. 1, p. 171-182, https://doi.org/10.1111/cobi.13024.","productDescription":"12 p.","startPage":"171","endPage":"182","ipdsId":"IP-079935","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":353774,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"32","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-29","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d5","contributors":{"authors":[{"text":"Taylor, Andrew T.","contributorId":177197,"corporation":false,"usgs":false,"family":"Taylor","given":"Andrew","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":734169,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Papes, Monica","contributorId":204496,"corporation":false,"usgs":false,"family":"Papes","given":"Monica","email":"","affiliations":[],"preferred":false,"id":734170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Long, James M. 0000-0002-8658-9949 jmlong@usgs.gov","orcid":"https://orcid.org/0000-0002-8658-9949","contributorId":3453,"corporation":false,"usgs":true,"family":"Long","given":"James","email":"jmlong@usgs.gov","middleInitial":"M.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":734168,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70196629,"text":"70196629 - 2018 - Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","interactions":[],"lastModifiedDate":"2018-04-23T10:01:33","indexId":"70196629","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1718,"text":"GCB Bioenergy","active":true,"publicationSubtype":{"id":10}},"title":"Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA","docAbstract":"Switchgrass (Panicum virgatum) has been evaluated as one potential source for cellulosic biofuel feedstocks. Planting switchgrass in marginal croplands and waterway buffers can reduce soil erosion, improve water quality, and improve regional ecosystem services (i.e. it serves as a potential carbon sink). In previous studies, we mapped high risk marginal croplands and highly erodible cropland buffers that are potentially suitable for switchgrass development, which would improve ecosystem services and minimally impact food production. In this study, we advance our previous study results and integrate future crop expansion information to develop a switchgrass biofuel potential ensemble map for current and future croplands in eastern Nebraska. The switchgrass biomass productivity and carbon benefits (i.e. NEP: net ecosystem production) for the identified biofuel potential ensemble areas were quantified. The future scenario‐based (‘A1B’) land use and land cover map for 2050, the US Geological Survey crop type and Compound Topographic Index (CTI) maps, and long‐term (1981–2010) averaged annual precipitation data were used to identify future crop expansion regions that are suitable for switchgrass development. Results show that 2528 km2 of future crop expansion regions (~3.6% of the study area) are potentially suitable for switchgrass development. The total estimated biofuel potential ensemble area (including cropland buffers, marginal croplands, and future crop expansion regions) is 4232 km2 (~6% of the study area), potentially producing 3.52 million metric tons of switchgrass biomass per year. Converting biofuel ensemble regions to switchgrass leads to potential carbon sinks (the total NEP for biofuel potential areas is 0.45 million metric tons C) and is environmentally sustainable. Results from this study improve our understanding of environmental conditions and ecosystem services of current and future cropland systems in eastern Nebraska and provide useful information to land managers to make land use decisions regarding switchgrass development.
","language":"English","publisher":"Wiley","doi":"10.1111/gcbb.12468","usgsCitation":"Gu, Y., and Wylie, B., 2018, Integrating future scenario‐based crop expansion and crop conditions to map switchgrass biofuel potential in eastern Nebraska, USA: GCB Bioenergy, v. 10, no. 2, p. 76-83, https://doi.org/10.1111/gcbb.12468.","productDescription":"8 p.","startPage":"76","endPage":"83","ipdsId":"IP-087756","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":469053,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1111/gcbb.12468","text":"Publisher Index Page"},{"id":353641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Nebraska","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -99.1845703125,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 40.01078714046552\n ],\n [\n -95.30639648437499,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 42.99661231842139\n ],\n [\n -99.1845703125,\n 40.01078714046552\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"10","issue":"2","publishingServiceCenter":{"id":4,"text":"Rolla PSC"},"noUsgsAuthors":false,"publicationDate":"2017-07-12","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1d7","contributors":{"authors":[{"text":"Gu, Yingxin 0000-0002-3544-1856 ygu@usgs.gov","orcid":"https://orcid.org/0000-0002-3544-1856","contributorId":139586,"corporation":false,"usgs":true,"family":"Gu","given":"Yingxin","email":"ygu@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":733834,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":197161,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce K.","email":"wylie@usgs.gov","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true}],"preferred":false,"id":733835,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70196490,"text":"70196490 - 2018 - Survey of beaver-related restoration practices in rangeland streams of the western USA","interactions":[],"lastModifiedDate":"2018-04-11T14:33:27","indexId":"70196490","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"Survey of beaver-related restoration practices in rangeland streams of the western USA","docAbstract":"Poor condition of many streams and concerns about future droughts in the arid and semi-arid western USA have motivated novel restoration strategies aimed at accelerating recovery and increasing water resources. Translocation of beavers into formerly occupied habitats, restoration activities encouraging beaver recolonization, and instream structures mimicking the effects of beaver dams are restoration alternatives that have recently gained popularity because of their potential socioeconomic and ecological benefits. However, beaver dams and dam-like structures also harbor a history of social conflict. Hence, we identified a need to assess the use of beaver-related restoration projects in western rangelands to increase awareness and accountability, and identify gaps in scientific knowledge. We inventoried 97 projects implemented by 32 organizations, most in the last 10 years. We found that beaver-related stream restoration projects undertaken mostly involved the relocation of nuisance beavers. The most common goal was to store water, either with beaver dams or artificial structures. Beavers were often moved without regard to genetics, disease, or potential conflicts with nearby landowners. Few projects included post-implementation monitoring or planned for longer term issues, such as what happens when beavers abandon a site or when beaver dams or structures breach. Human dimensions were rarely considered and water rights and other issues were mostly unresolved or addressed through ad-hoc agreements. We conclude that the practice and implementation of beaver-related restoration has outpaced research on its efficacy and best practices. Further scientific research is necessary, especially research that informs the establishment of clear guidelines for best practices.
","language":"English","publisher":"Springer","doi":"10.1007/s00267-017-0957-6","usgsCitation":"Pilliod, D.S., Rohde, A., Charnley, S., Davee, R.R., Dunham, J.B., Gosnell, H., Grant, G., Hausner, M.B., Huntington, J., and Nash, C., 2018, Survey of beaver-related restoration practices in rangeland streams of the western USA: Environmental Management, v. 61, no. 1, p. 58-68, https://doi.org/10.1007/s00267-017-0957-6.","productDescription":"11 p.","startPage":"58","endPage":"68","ipdsId":"IP-085356","costCenters":[{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"links":[{"id":438038,"rank":0,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/P90GAYBK","text":"USGS data release","linkHelpText":"Beaver-related Stream Restoration Projects in Western Rangelands"},{"id":353330,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -125.0244140625,\n 37.055177106660814\n ],\n [\n -104.0185546875,\n 37.055177106660814\n ],\n [\n -104.0185546875,\n 49.06666839558117\n ],\n [\n -125.0244140625,\n 49.06666839558117\n ],\n [\n -125.0244140625,\n 37.055177106660814\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"61","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5afee740e4b0da30c1bfc1df","contributors":{"authors":[{"text":"Pilliod, David S. 0000-0003-4207-3518 dpilliod@usgs.gov","orcid":"https://orcid.org/0000-0003-4207-3518","contributorId":149254,"corporation":false,"usgs":true,"family":"Pilliod","given":"David","email":"dpilliod@usgs.gov","middleInitial":"S.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true}],"preferred":true,"id":733202,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rohde, Ashley T. 0000-0003-4939-3047","orcid":"https://orcid.org/0000-0003-4939-3047","contributorId":204143,"corporation":false,"usgs":false,"family":"Rohde","given":"Ashley T.","affiliations":[{"id":6682,"text":"Utah State University","active":true,"usgs":false}],"preferred":false,"id":733203,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Charnley, Susan","contributorId":169897,"corporation":false,"usgs":false,"family":"Charnley","given":"Susan","email":"","affiliations":[{"id":25613,"text":"Pacific Northwest Research Station, USDA Forest Service.","active":true,"usgs":false}],"preferred":false,"id":733204,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Davee, Rachael R","contributorId":204144,"corporation":false,"usgs":false,"family":"Davee","given":"Rachael","email":"","middleInitial":"R","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":733205,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Dunham, Jason B. 0000-0002-6268-0633 jdunham@usgs.gov","orcid":"https://orcid.org/0000-0002-6268-0633","contributorId":147808,"corporation":false,"usgs":true,"family":"Dunham","given":"Jason","email":"jdunham@usgs.gov","middleInitial":"B.","affiliations":[{"id":289,"text":"Forest and Rangeland Ecosys Science Center","active":true,"usgs":true},{"id":290,"text":"Forest and Rangeland Ecosystem Science Center","active":false,"usgs":true},{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":733206,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Gosnell, Hannah","contributorId":192214,"corporation":false,"usgs":false,"family":"Gosnell","given":"Hannah","email":"","affiliations":[],"preferred":false,"id":733207,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Grant, Gordon E.","contributorId":30881,"corporation":false,"usgs":false,"family":"Grant","given":"Gordon E.","affiliations":[{"id":12647,"text":"U.S. Forest Service, Pacific Northwest Research Station","active":true,"usgs":false}],"preferred":false,"id":733208,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hausner, Mark B.","contributorId":204145,"corporation":false,"usgs":false,"family":"Hausner","given":"Mark","email":"","middleInitial":"B.","affiliations":[{"id":16138,"text":"Desert Research Institute","active":true,"usgs":false}],"preferred":false,"id":733209,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Huntington, Justin L.","contributorId":31279,"corporation":false,"usgs":true,"family":"Huntington","given":"Justin L.","affiliations":[],"preferred":false,"id":733239,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nash, Caroline","contributorId":204146,"corporation":false,"usgs":false,"family":"Nash","given":"Caroline","email":"","affiliations":[{"id":6680,"text":"Oregon State University","active":true,"usgs":false}],"preferred":false,"id":733210,"contributorType":{"id":1,"text":"Authors"},"rank":10}]}}
,{"id":70195454,"text":"70195454 - 2018 - Planetary dune workshop expands to include subaqueous processes","interactions":[],"lastModifiedDate":"2018-03-22T10:36:22","indexId":"70195454","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3879,"text":"Eos, Earth and Space Science News","active":true,"publicationSubtype":{"id":10}},"title":"Planetary dune workshop expands to include subaqueous processes","docAbstract":"Dune-like structures appear in the depths of Earth’s oceans, across its landscapes, and in the extremities of the solar system beyond. Dunes rise up under the thick dense atmosphere of Venus, and they have been found under the almost unimaginably ephemeral atmosphere of a comet.
","conferenceTitle":"The Fifth International Planetary Dunes Workshop: From the Bottom of the Oceans to the Outer Limits of the Solar System","conferenceDate":"May 16-19, 2017","conferenceLocation":"St. George, UT","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2018EO092783","usgsCitation":"Titus, T.N., Bryant, G., and Rubin, D.M., 2018, Planetary dune workshop expands to include subaqueous processes: Eos, Earth and Space Science News, v. 99, HTML, https://doi.org/10.1029/2018EO092783.","productDescription":"HTML","ipdsId":"IP-088713","costCenters":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"links":[{"id":469074,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2018eo092783","text":"Publisher Index Page"},{"id":351705,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","publishingServiceCenter":{"id":14,"text":"Menlo Park PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5afee743e4b0da30c1bfc201","contributors":{"authors":[{"text":"Titus, Timothy N. 0000-0003-0700-4875 ttitus@usgs.gov","orcid":"https://orcid.org/0000-0003-0700-4875","contributorId":146,"corporation":false,"usgs":true,"family":"Titus","given":"Timothy","email":"ttitus@usgs.gov","middleInitial":"N.","affiliations":[{"id":131,"text":"Astrogeology Science Center","active":true,"usgs":true}],"preferred":true,"id":728680,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bryant, Gerald","contributorId":202524,"corporation":false,"usgs":false,"family":"Bryant","given":"Gerald","email":"","affiliations":[{"id":36471,"text":"Dixie State University","active":true,"usgs":false}],"preferred":false,"id":728681,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rubin, David M. 0000-0003-1169-1452 drubin@usgs.gov","orcid":"https://orcid.org/0000-0003-1169-1452","contributorId":3159,"corporation":false,"usgs":true,"family":"Rubin","given":"David","email":"drubin@usgs.gov","middleInitial":"M.","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":728682,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70197460,"text":"70197460 - 2018 - Contaminants in tropical island streams and their biota","interactions":[],"lastModifiedDate":"2018-06-05T14:35:51","indexId":"70197460","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1561,"text":"Environmental Research","active":true,"publicationSubtype":{"id":10}},"title":"Contaminants in tropical island streams and their biota","docAbstract":"Environmental contamination is problematic for tropical islands due to their typically dense human populations and competing land and water uses. The Caribbean island of Puerto Rico (USA) has a long history of anthropogenic chemical use, and its human population density is among the highest globally, providing a model environment to study contaminant impacts on tropical island stream ecosystems. Polycyclic Aromatic Hydrocarbons, historic-use chlorinated pesticides, current-use pesticides, Polychlorinated Biphenyls (PCBs), and metals (mercury, cadmium, copper, lead, nickel, zinc, and selenium) were quantified in the habitat and biota of Puerto Rico streams and assessed in relation to land-use patterns and toxicological thresholds. Water, sediment, and native fish and shrimp species were sampled in 13 rivers spanning broad watershed land-use characteristics during 2009–2010. Contrary to expectations, freshwater stream ecosystems in Puerto Rico were not severely polluted, likely due to frequent flushing flows and reduced deposition associated with recurring flood events. Notable exceptions of contamination were nickel in sediment within three agricultural watersheds (range 123–336 ppm dry weight) and organic contaminants (PCBs, organochlorine pesticides) and mercury in urban landscapes. At an urban site, PCBs in several fish species (Mountain Mullet Agonostomus monticola [range 0.019–0.030 ppm wet weight] and American Eel Anguilla rostrata [0.019–0.031 ppm wet weight]) may pose human health hazards, with concentrations exceeding the U.S. Environmental Protection Agency (EPA) consumption limit for 1 meal/month. American Eel at the urban site also contained dieldrin (range < detection-0.024 ppm wet weight) that exceeded the EPA maximum allowable consumption limit. The Bigmouth Sleeper Gobiomorous dormitor, an important piscivorus sport fish, accumulated low levels of organic contaminants in edible muscle tissue (due to its low lipid content) and may be most suitable for human consumption island-wide; only mercury at one site (an urban location) exceeded EPA's consumption limit of 3 meals/month for this species. These results comprise the first comprehensive island-wide contaminant assessment of Puerto Rico streams and biota and provide natural resource and public health agencies here and in similar tropical islands elsewhere with information needed to guide ecosystem and fisheries conservation and management and human health risk assessment.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.envres.2017.11.053","usgsCitation":"Buttermore, E.N., Cope, W., Kwak, T.J., Cooney, P.B., Shea, D., and Lazaro, P.R., 2018, Contaminants in tropical island streams and their biota: Environmental Research, v. 161, p. 615-623, https://doi.org/10.1016/j.envres.2017.11.053.","productDescription":"9 p.","startPage":"615","endPage":"623","ipdsId":"IP-092384","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":354728,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"161","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d220","contributors":{"authors":[{"text":"Buttermore, Elissa N.","contributorId":84871,"corporation":false,"usgs":true,"family":"Buttermore","given":"Elissa","email":"","middleInitial":"N.","affiliations":[],"preferred":false,"id":737243,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cope, W. Gregory","contributorId":70353,"corporation":false,"usgs":true,"family":"Cope","given":"W. Gregory","affiliations":[],"preferred":false,"id":737244,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Kwak, Thomas J. 0000-0002-0616-137X tkwak@usgs.gov","orcid":"https://orcid.org/0000-0002-0616-137X","contributorId":834,"corporation":false,"usgs":true,"family":"Kwak","given":"Thomas","email":"tkwak@usgs.gov","middleInitial":"J.","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":737242,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cooney, Patrick B.","contributorId":141249,"corporation":false,"usgs":false,"family":"Cooney","given":"Patrick","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":737245,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Shea, Damian","contributorId":145456,"corporation":false,"usgs":false,"family":"Shea","given":"Damian","email":"","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737246,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Lazaro, Peter R.","contributorId":205423,"corporation":false,"usgs":false,"family":"Lazaro","given":"Peter","email":"","middleInitial":"R.","affiliations":[{"id":37103,"text":"Department of Biological Sciences, North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":737247,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":70197549,"text":"70197549 - 2018 - Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","interactions":[],"lastModifiedDate":"2018-06-11T16:47:14","indexId":"70197549","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2676,"text":"Marine Pollution Bulletin","active":true,"publicationSubtype":{"id":10}},"title":"Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms","docAbstract":"Polymer identification of plastic marine debris can help identify its sources, degradation, and fate. We optimized and validated a fast, simple, and accessible technique, attenuated total reflectance Fourier transform infrared spectroscopy (ATR FT-IR), to identify polymers contained in plastic ingested by sea turtles. Spectra of consumer good items with known resin identification codes #1–6 and several #7 plastics were compared to standard and raw manufactured polymers. High temperature size exclusion chromatography measurements confirmed ATR FT-IR could differentiate these polymers. High-density (HDPE) and low-density polyethylene (LDPE) discrimination is challenging but a clear step-by-step guide is provided that identified 78% of ingested PE samples. The optimal cleaning methods consisted of wiping ingested pieces with water or cutting. Of 828 ingested plastics pieces from 50 Pacific sea turtles, 96% were identified by ATR FT-IR as HDPE, LDPE, unknown PE, polypropylene (PP), PE and PP mixtures, polystyrene, polyvinyl chloride, and nylon.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.marpolbul.2017.12.061","usgsCitation":"Jung, M.R., Horgen, F.D., Orski, S.V., Rodriguez, V., Beers, K.L., Balazs, G.H., Jones, T.T., Work, T.M., Brignac, K.C., Royer, S., Hyrenbach, D.K., Jensen, B.A., and Lynch, J.M., 2018, Validation of ATR FT-IR to identify polymers of plastic marine debris, including those ingested by marine organisms: Marine Pollution Bulletin, v. 127, p. 704-716, https://doi.org/10.1016/j.marpolbul.2017.12.061.","productDescription":"13 p.","startPage":"704","endPage":"716","ipdsId":"IP-093467","costCenters":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"links":[{"id":469068,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13077791/","text":"Publisher Index Page"},{"id":354920,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"127","publishingServiceCenter":{"id":15,"text":"Madison PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5b46e5d4e4b060350a15d21e","contributors":{"authors":[{"text":"Jung, Melissa R.","contributorId":205513,"corporation":false,"usgs":false,"family":"Jung","given":"Melissa","email":"","middleInitial":"R.","affiliations":[{"id":37114,"text":"National Institute of Standard and","active":true,"usgs":false}],"preferred":false,"id":737620,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Horgen, F. David","contributorId":205514,"corporation":false,"usgs":false,"family":"Horgen","given":"F.","email":"","middleInitial":"David","affiliations":[],"preferred":false,"id":737621,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Orski, Sara V.","contributorId":205515,"corporation":false,"usgs":false,"family":"Orski","given":"Sara","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":737622,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Rodriguez, Viviana","contributorId":205516,"corporation":false,"usgs":false,"family":"Rodriguez","given":"Viviana","email":"","affiliations":[],"preferred":false,"id":737623,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Beers, Kathryn L.","contributorId":205517,"corporation":false,"usgs":false,"family":"Beers","given":"Kathryn","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":737624,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Balazs, George H.","contributorId":127680,"corporation":false,"usgs":false,"family":"Balazs","given":"George","email":"","middleInitial":"H.","affiliations":[{"id":7109,"text":"NOAA, National Marine Fisheries Service, Pacific Islands Fisheries Science Center, 1845 Wasp Boulevard, Building 176, Honolulu, HI 96818.","active":true,"usgs":false}],"preferred":false,"id":737625,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, T. Todd","contributorId":205518,"corporation":false,"usgs":false,"family":"Jones","given":"T.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":737626,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Work, Thierry M. 0000-0002-4426-9090 thierry_work@usgs.gov","orcid":"https://orcid.org/0000-0002-4426-9090","contributorId":1187,"corporation":false,"usgs":true,"family":"Work","given":"Thierry","email":"thierry_work@usgs.gov","middleInitial":"M.","affiliations":[{"id":456,"text":"National Wildlife Health Center","active":true,"usgs":true}],"preferred":true,"id":737619,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Brignac, Kayla C.","contributorId":205519,"corporation":false,"usgs":false,"family":"Brignac","given":"Kayla","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":737627,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Royer, Sarah-Jeanne","contributorId":205520,"corporation":false,"usgs":false,"family":"Royer","given":"Sarah-Jeanne","email":"","affiliations":[],"preferred":false,"id":737628,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Hyrenbach, David K.","contributorId":120610,"corporation":false,"usgs":true,"family":"Hyrenbach","given":"David","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":737657,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Jensen, Brenda A.","contributorId":40130,"corporation":false,"usgs":true,"family":"Jensen","given":"Brenda","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":737658,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Lynch, Jennifer M.","contributorId":192486,"corporation":false,"usgs":false,"family":"Lynch","given":"Jennifer","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":737659,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":70197205,"text":"70197205 - 2018 - Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer","interactions":[],"lastModifiedDate":"2018-05-22T16:36:46","indexId":"70197205","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2373,"text":"Journal of Mammalogy","onlineIssn":"1545-1542","printIssn":"0022-2372","active":true,"publicationSubtype":{"id":10}},"title":"Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer","docAbstract":"Partial migration is a common life-history strategy among ungulates living in seasonal environments. The decision to migrate or remain on a seasonal range may be influenced strongly by access to high-quality habitat. We evaluated the influence of access to winter habitat of high quality on the probability of a female white-tailed deer (Odocoileus virginianus) migrating to a separate summer range and the effects of this decision on survival. We hypothesized that deer with home ranges of low quality in winter would have a high probability of migrating, and that survival of an individual in winter would be influenced by the quality of their home range in winter. We radiocollared 67 female white-tailed deer in 2012 and 2013 in eastern Washington, United States. We estimated home range size in winter using a kernel density estimator; we assumed the size of the home range was inversely proportional to its quality and the proportion of crop land within the home range was proportional to its quality. Odds of migrating from winter ranges increased by 3.1 per unit increase in home range size and decreased by 0.29 per unit increase in the proportion of crop land within a home range. Annual survival rate for migrants was 0.85 (SD = 0.05) and 0.84 (SD = 0.09) for residents. Our finding that an individual with a low-quality home range in winter is likely to migrate to a separate summer range accords with the hypothesis that competition for a limited amount of home ranges of high quality should result in residents having home ranges of higher quality than migrants in populations experiencing density dependence. We hypothesize that density-dependent competition for high-quality home ranges in winter may play a leading role in the selection of migration strategy by female white-tailed deer.
","language":"English","publisher":"Oxford University Press","doi":"10.1093/jmammal/gyx148","usgsCitation":"Henderson, C.R., Mitchell, M.S., Myers, W.L., Lukacs, P.M., and Nelson, G.P., 2018, Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer: Journal of Mammalogy, v. 99, no. 1, p. 89-96, https://doi.org/10.1093/jmammal/gyx148.","productDescription":"8 p.","startPage":"89","endPage":"96","ipdsId":"IP-076163","costCenters":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"links":[{"id":469063,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1093/jmammal/gyx148","text":"Publisher Index Page"},{"id":354400,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"99","issue":"1","publishingServiceCenter":{"id":12,"text":"Tacoma PSC"},"noUsgsAuthors":false,"publicationDate":"2017-11-22","publicationStatus":"PW","scienceBaseUri":"5b155db9e4b092d9651e1b81","contributors":{"authors":[{"text":"Henderson, Charles R. Jr.","contributorId":205132,"corporation":false,"usgs":false,"family":"Henderson","given":"Charles","suffix":"Jr.","email":"","middleInitial":"R.","affiliations":[{"id":37028,"text":"Montana Cooperative Wildlife Research Unit, University of Montana, Natural Sciences, Missoula, MT","active":true,"usgs":false}],"preferred":false,"id":736180,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mitchell, Michael S. 0000-0002-0773-6905 mmitchel@usgs.gov","orcid":"https://orcid.org/0000-0002-0773-6905","contributorId":3716,"corporation":false,"usgs":true,"family":"Mitchell","given":"Michael","email":"mmitchel@usgs.gov","middleInitial":"S.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true}],"preferred":true,"id":736179,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Myers, Woodrow L.","contributorId":200876,"corporation":false,"usgs":false,"family":"Myers","given":"Woodrow","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":736181,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lukacs, Paul M.","contributorId":101240,"corporation":false,"usgs":true,"family":"Lukacs","given":"Paul","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":736232,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Nelson, Gerald P.","contributorId":205134,"corporation":false,"usgs":false,"family":"Nelson","given":"Gerald","email":"","middleInitial":"P.","affiliations":[{"id":37030,"text":"Wildlife Program, Washington Department of Fish and Wildlife, Olympia, WA, USA","active":true,"usgs":false}],"preferred":false,"id":736182,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70193170,"text":"70193170 - 2018 - Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","interactions":[],"lastModifiedDate":"2018-03-28T15:11:54","indexId":"70193170","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1659,"text":"Fisheries Management and Ecology","active":true,"publicationSubtype":{"id":10}},"title":"Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments","docAbstract":"Largemouth bass Micropterus salmoides (Lacepède) catch rates decline with sustained fishing effort, even without harvest. It is unclear why declines in catch rate occur, and little research has been directed at how to improve catch rate. Learning has been proposed as a reason for declining catch rate, but has never been tested on largemouth bass. If catch rate declines because fish learn to avoid lures, periods of no fishing could be a management tool for increasing catch rate. In this study, six small impoundments with established fish populations were fished for two May to October fishing seasons to evaluate the effect of fishing effort on catch rate. Closed seasons were implemented to test whether a 2‐month period of no fishing improved catch rates and to determine whether conditioning from factors other than being captured reduced catch rate. Mixed‐model analysis indicated catch rate and catchability declined throughout the fishing season. Catch rate and catchability increased after a 2‐month closure but soon declined to the lowest levels of the fishing season. These changes in catch rate and catchability support the conclusion of learned angler avoidance, but sustained catchability of fish not previously caught does not support that associative or social learning affected catchability.
","language":"English","publisher":"Wiley","doi":"10.1111/fme.12268","usgsCitation":"Wegener, M.G., Schramm, H., Neal, J.W., and Gerard, P., 2018, Effect of fishing effort on catch rate and catchability of largemouth bass in small impoundments: Fisheries Management and Ecology, v. 25, no. 1, p. 66-76, https://doi.org/10.1111/fme.12268.","productDescription":"11 p.","startPage":"66","endPage":"76","ipdsId":"IP-057761","costCenters":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"links":[{"id":352871,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"25","issue":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationDate":"2017-12-13","publicationStatus":"PW","scienceBaseUri":"5afee744e4b0da30c1bfc20d","contributors":{"authors":[{"text":"Wegener, M. G.","contributorId":203617,"corporation":false,"usgs":false,"family":"Wegener","given":"M.","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":731936,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schramm, Harold hschramm@usgs.gov","contributorId":149157,"corporation":false,"usgs":true,"family":"Schramm","given":"Harold","email":"hschramm@usgs.gov","affiliations":[{"id":198,"text":"Coop Res Unit Atlanta","active":true,"usgs":true}],"preferred":true,"id":718118,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Neal, J. W.","contributorId":203618,"corporation":false,"usgs":false,"family":"Neal","given":"J.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":731937,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gerard, P.D.","contributorId":16368,"corporation":false,"usgs":true,"family":"Gerard","given":"P.D.","email":"","affiliations":[],"preferred":false,"id":731938,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70195167,"text":"70195167 - 2018 - Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study","interactions":[],"lastModifiedDate":"2018-10-04T13:41:33","indexId":"70195167","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3059,"text":"Physical Geography","active":true,"publicationSubtype":{"id":10}},"title":"Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study","docAbstract":"With continued population growth and increasing use of fresh groundwater resources, protection of this valuable resource is critical. A cost effective means to assess risk of groundwater contamination potential will provide a useful tool to protect these resources. Integrating geospatial methods offers a means to quantify the risk of contaminant potential in cost effective and spatially explicit ways. This research was designed to compare the ability of intrinsic (DRASTIC) and specific (Attenuation Factor; AF) vulnerability models to indicate groundwater vulnerability areas by comparing model results to the presence of pesticides from groundwater sample datasets. A logistic regression was used to assess the relationship between the environmental variables and the presence or absence of pesticides within regions of varying vulnerability. According to the DRASTIC model, more than 20% of the study area is very highly vulnerable. Approximately 30% is very highly vulnerable according to the AF model. When groundwater concentrations of individual pesticides were compared to model predictions, the results were mixed. Model predictability improved when concentrations of the group of similar pesticides were compared to model results. Compared to the DRASTIC model, the AF model more accurately predicts the distribution of the number of contaminated wells within each vulnerability class.
","language":"English","publisher":"Taylor & Francis","doi":"10.1080/02723646.2017.1406300","usgsCitation":"Douglas, S.H., Dixon, B., and Griffin, D.W., 2018, Assessing intrinsic and specific vulnerability models ability to indicate groundwater vulnerability to groups of similar pesticides: A comparative study: Physical Geography, v. 39, no. 6, p. 487-505, https://doi.org/10.1080/02723646.2017.1406300.","productDescription":"19 p.","startPage":"487","endPage":"505","ipdsId":"IP-081836","costCenters":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":351284,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"39","issue":"6","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-08","publicationStatus":"PW","scienceBaseUri":"5a7c1e73e4b00f54eb2292e4","contributors":{"authors":[{"text":"Douglas, Steven H. 0000-0001-9078-538X sdouglas@usgs.gov","orcid":"https://orcid.org/0000-0001-9078-538X","contributorId":182361,"corporation":false,"usgs":true,"family":"Douglas","given":"Steven","email":"sdouglas@usgs.gov","middleInitial":"H.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727277,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Dixon, Barnali","contributorId":201960,"corporation":false,"usgs":false,"family":"Dixon","given":"Barnali","email":"","affiliations":[{"id":36308,"text":"USFSP","active":true,"usgs":false}],"preferred":false,"id":727278,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Griffin, Dale W. 0000-0003-1719-5812 dgriffin@usgs.gov","orcid":"https://orcid.org/0000-0003-1719-5812","contributorId":2178,"corporation":false,"usgs":true,"family":"Griffin","given":"Dale","email":"dgriffin@usgs.gov","middleInitial":"W.","affiliations":[{"id":574,"text":"St. Petersburg Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":true,"id":727279,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":70195346,"text":"70195346 - 2018 - Biomarker responses of Peromyscus leucopus exposed to lead and cadmium in the Southeast Missouri Lead Mining District","interactions":[],"lastModifiedDate":"2018-02-12T09:26:13","indexId":"70195346","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1552,"text":"Environmental Monitoring and Assessment","onlineIssn":"1573-2959","printIssn":"0167-6369","active":true,"publicationSubtype":{"id":10}},"displayTitle":"Biomarker responses of Peromyscus leucopus exposed to lead and cadmium in the Southeast Missouri Lead Mining District","title":"Biomarker responses of Peromyscus leucopus exposed to lead and cadmium in the Southeast Missouri Lead Mining District","docAbstract":"Biomarker responses and histopathological lesions have been documented in laboratory mammals exposed to elevated concentrations of lead and cadmium. The exposure of white-footed mice (Peromyscus leucopus) to these metals and the potential associated toxic effects were examined at three contaminated sites in the Southeast Missouri Lead Mining District and at a reference site in MO, USA. Mice from the contaminated sites showed evidence of oxidative stress and reduced activity of red blood cell δ-aminolevulinic acid dehydratase (ALAD). Histological examinations of the liver and kidney, cytologic examination of blood smears, and biomarkers of lipid peroxidation and DNA damage failed to show indications of toxic effects from lead. The biomagnification factor of cadmium (hepatic concentration/soil concentration) at a site with a strongly acid soil was 44 times the average of the biomagnification factors at two sites with slightly alkaline soils. The elevated concentrations of cadmium in the mice did not cause observable toxicity, but were associated with about a 50% decrease in expected tissue lead concentrations and greater ALAD activity compared to the activity at the reference site. Lead was associated with a decrease in concentrations of hepatic glutathione and thiols, whereas cadmium was associated with an increase. In addition, to support risk assessment efforts, we developed linear regression models relating both tissue lead dosages (based on a previously published a laboratory study) and tissue lead concentrations in Peromyscus to soil lead concentrations.
","language":"English","publisher":"Springer","doi":"10.1007/s10661-017-6442-0","usgsCitation":"Beyer, W.N., Casteel, S.W., Friedrichs, K.R., Gramlich, E., Houseright, R.A., Nichols, J.W., Karouna-Renier, N., Kim, D.Y., Rangen, K., Rattner, B.A., and Schultz, S.L., 2018, Biomarker responses of Peromyscus leucopus exposed to lead and cadmium in the Southeast Missouri Lead Mining District: Environmental Monitoring and Assessment, v. 190, p. 1-16, https://doi.org/10.1007/s10661-017-6442-0.","productDescription":"Article 104; 16 p.","startPage":"1","endPage":"16","ipdsId":"IP-087013","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":351428,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Missouri","otherGeospatial":"Southeast Missouri Lead Mining District","volume":"190","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-29","publicationStatus":"PW","scienceBaseUri":"5a7ec172e4b00f54eb25a75b","contributors":{"authors":[{"text":"Beyer, W. Nelson 0000-0002-8911-9141 nbeyer@usgs.gov","orcid":"https://orcid.org/0000-0002-8911-9141","contributorId":3301,"corporation":false,"usgs":true,"family":"Beyer","given":"W.","email":"nbeyer@usgs.gov","middleInitial":"Nelson","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727966,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casteel, Stan W.","contributorId":202227,"corporation":false,"usgs":false,"family":"Casteel","given":"Stan","email":"","middleInitial":"W.","affiliations":[{"id":36374,"text":"College of Veterinary Medicine, University of Missouri, Missouri, 65211, USA","active":true,"usgs":false}],"preferred":false,"id":727967,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Friedrichs, Kristen R.","contributorId":202228,"corporation":false,"usgs":false,"family":"Friedrichs","given":"Kristen","email":"","middleInitial":"R.","affiliations":[{"id":36375,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, 2015 Linden Dr., Madison, WI 53706-1100, USA","active":true,"usgs":false}],"preferred":false,"id":727968,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Gramlich, Eric","contributorId":202229,"corporation":false,"usgs":false,"family":"Gramlich","given":"Eric","email":"","affiliations":[{"id":36376,"text":"Missouri Department of Natural Resources, P.O. Box 176 Jefferson City, MO 65102-0176, USA","active":true,"usgs":false}],"preferred":false,"id":727969,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Houseright, Ruth A.","contributorId":202230,"corporation":false,"usgs":false,"family":"Houseright","given":"Ruth","email":"","middleInitial":"A.","affiliations":[{"id":36375,"text":"Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, 2015 Linden Dr., Madison, WI 53706-1100, USA","active":true,"usgs":false}],"preferred":false,"id":727970,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Nichols, John W.","contributorId":175334,"corporation":false,"usgs":false,"family":"Nichols","given":"John","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":727971,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Karouna-Renier, Natalie 0000-0001-7127-033X nkarouna@usgs.gov","orcid":"https://orcid.org/0000-0001-7127-033X","contributorId":200983,"corporation":false,"usgs":true,"family":"Karouna-Renier","given":"Natalie","email":"nkarouna@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727972,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Kim, Dae Young","contributorId":202231,"corporation":false,"usgs":false,"family":"Kim","given":"Dae","email":"","middleInitial":"Young","affiliations":[{"id":36374,"text":"College of Veterinary Medicine, University of Missouri, Missouri, 65211, USA","active":true,"usgs":false}],"preferred":false,"id":727973,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Rangen, Kathleen","contributorId":202232,"corporation":false,"usgs":false,"family":"Rangen","given":"Kathleen","email":"","affiliations":[{"id":36376,"text":"Missouri Department of Natural Resources, P.O. Box 176 Jefferson City, MO 65102-0176, USA","active":true,"usgs":false}],"preferred":false,"id":727974,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Rattner, Barnett A. 0000-0003-3676-2843 brattner@usgs.gov","orcid":"https://orcid.org/0000-0003-3676-2843","contributorId":4142,"corporation":false,"usgs":true,"family":"Rattner","given":"Barnett","email":"brattner@usgs.gov","middleInitial":"A.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727975,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Schultz, Sandra L. 0000-0003-3394-2857 sschultz@usgs.gov","orcid":"https://orcid.org/0000-0003-3394-2857","contributorId":5966,"corporation":false,"usgs":true,"family":"Schultz","given":"Sandra","email":"sschultz@usgs.gov","middleInitial":"L.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727976,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}}
,{"id":70195351,"text":"70195351 - 2018 - The migratory bird treaty and a century of waterfowl conservation","interactions":[],"lastModifiedDate":"2018-02-09T11:50:41","indexId":"70195351","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2508,"text":"Journal of Wildlife Management","active":true,"publicationSubtype":{"id":10}},"title":"The migratory bird treaty and a century of waterfowl conservation","docAbstract":"In the final decades of the nineteenth century, concern was building about the status of migratory bird populations in North America. In this literature review, we describe how that concern led to a landmark conservation agreement in 1916, between the United States and Great Britain (on behalf of Canada) to conserve migratory birds shared by Canada and the United States. Drawing on published literature and our personal experience, we describe how subsequent enabling acts in both countries gave rise to efforts to better estimate population sizes and distributions, assess harvest rates and demographic impacts, design and fund landscape-level habitat conservation initiatives, and organize necessary political and regulatory processes. Executing these steps required large-scale thinking, unprecedented regional and international cooperation, ingenuity, and a commitment to scientific rigor and adaptive management. We applaud the conservation efforts begun 100 years ago with the Migratory Bird Treaty Convention. The agreement helped build the field of wildlife ecology and conservation in the twentieth century but only partially prepares us for the ecological and social challenges ahead.
","language":"English","publisher":"Wiley","doi":"10.1002/jwmg.21326","usgsCitation":"Anderson, M.G., Alisauskas, R., Batt, B., Blohm, R.J., Higgins, K.F., Perry, M., Ringelman, J.K., Sedinger, J.S., Serie, J.R., Sharp, D.E., Trauger, D.L., and Williams, C.K., 2018, The migratory bird treaty and a century of waterfowl conservation: Journal of Wildlife Management, v. 82, p. 247-259, https://doi.org/10.1002/jwmg.21326.","productDescription":"13 p.","startPage":"247","endPage":"259","ipdsId":"IP-087705","costCenters":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":351421,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"82","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2017-08-24","publicationStatus":"PW","scienceBaseUri":"5a7ec172e4b00f54eb25a756","contributors":{"authors":[{"text":"Anderson, Michael G.","contributorId":202239,"corporation":false,"usgs":false,"family":"Anderson","given":"Michael","email":"","middleInitial":"G.","affiliations":[{"id":36382,"text":"Institute For Wetland And Waterfowl Research, Ducks Unlimited Canada, Stonewall, Mb R0c 2z0, Canada","active":true,"usgs":false}],"preferred":false,"id":727992,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Alisauskas, Ray T.","contributorId":202240,"corporation":false,"usgs":false,"family":"Alisauskas","given":"Ray T.","affiliations":[{"id":36383,"text":"Environment And Climate Change Canada, Prairie And Northern Research Center; 115 Perimeter Road, Saskatoon, Sk S7n 0x4, Canada","active":true,"usgs":false}],"preferred":false,"id":727993,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Batt, Bruce D. J.","contributorId":202241,"corporation":false,"usgs":false,"family":"Batt","given":"Bruce D. J.","affiliations":[{"id":36384,"text":"Ducks Unlimited, Inc., Retired, Memphis, TN 38119, USA","active":true,"usgs":false}],"preferred":false,"id":727994,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Blohm, Robert J.","contributorId":202242,"corporation":false,"usgs":false,"family":"Blohm","given":"Robert","email":"","middleInitial":"J.","affiliations":[{"id":36385,"text":"Division of Migratory Bird Management, U.S. Fish And Wildlife Service, Retired, Bowie, MD 20715, USA","active":true,"usgs":false}],"preferred":false,"id":727995,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Higgins, Kenneth F.","contributorId":202243,"corporation":false,"usgs":false,"family":"Higgins","given":"Kenneth","email":"","middleInitial":"F.","affiliations":[{"id":36386,"text":"Department Of Natural Resource Management, South Dakota State University, Brookings, SD 57007, USA","active":true,"usgs":false}],"preferred":false,"id":727996,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Perry, Matthew 0000-0001-6452-9534 mperry@usgs.gov","orcid":"https://orcid.org/0000-0001-6452-9534","contributorId":179173,"corporation":false,"usgs":true,"family":"Perry","given":"Matthew","email":"mperry@usgs.gov","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"preferred":true,"id":727991,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Ringelman, James K.","contributorId":202244,"corporation":false,"usgs":false,"family":"Ringelman","given":"James","email":"","middleInitial":"K.","affiliations":[{"id":36387,"text":"Ducks Unlimited, Inc., Retired, Menoken, ND 58558, USA","active":true,"usgs":false}],"preferred":false,"id":727997,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Sedinger, James S.","contributorId":84861,"corporation":false,"usgs":false,"family":"Sedinger","given":"James","email":"","middleInitial":"S.","affiliations":[{"id":12742,"text":"University of Nevada Reno","active":true,"usgs":false}],"preferred":false,"id":727998,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Serie, Jerome R.","contributorId":174564,"corporation":false,"usgs":false,"family":"Serie","given":"Jerome","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":727999,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Sharp, David E.","contributorId":202245,"corporation":false,"usgs":false,"family":"Sharp","given":"David","email":"","middleInitial":"E.","affiliations":[{"id":36388,"text":"Division Of Migratory Bird Management, U.S. Fish And Wildlife Service, Retired, Littleton, CO 80127, USA","active":true,"usgs":false}],"preferred":false,"id":728000,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Trauger, David L.","contributorId":107682,"corporation":false,"usgs":true,"family":"Trauger","given":"David","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":728043,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Williams, Christopher K.","contributorId":202263,"corporation":false,"usgs":false,"family":"Williams","given":"Christopher","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":728044,"contributorType":{"id":1,"text":"Authors"},"rank":12}]}}
,{"id":70194952,"text":"70194952 - 2018 - Tidal extension and sea-level rise: recommendations for a research agenda","interactions":[],"lastModifiedDate":"2018-02-01T11:15:48","indexId":"70194952","displayToPublicDate":"2018-02-01T00:00:00","publicationYear":"2018","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1701,"text":"Frontiers in Ecology and the Environment","active":true,"publicationSubtype":{"id":10}},"title":"Tidal extension and sea-level rise: recommendations for a research agenda","docAbstract":"Sea-level rise is pushing freshwater tides upstream into formerly non-tidal rivers. This tidal extension may increase the area of tidal freshwater ecosystems and offset loss of ecosystem functions due to salinization downstream. Without considering how gains in ecosystem functions could offset losses, landscape-scale assessments of ecosystem functions may be biased toward worst-case scenarios of loss. To stimulate research on this concept, we address three fundamental questions about tidal extension: Where will tidal extension be most evident, and can we measure it? What ecosystem functions are influenced by tidal extension, and how can we measure them? How do watershed processes, climate change, and tidal extension interact to affect ecosystem functions? Our preliminary answers lead to recommendations that will advance tidal extension research, enable better predictions of the impacts of sea-level rise, and help balance the landscape-scale benefits of ecosystem function with costs of response.
","language":"English","publisher":"Ecological Society of America","doi":"10.1002/fee.1745","usgsCitation":"Ensign, S.H., and Noe, G.E., 2018, Tidal extension and sea-level rise: recommendations for a research agenda: Frontiers in Ecology and the Environment, v. 16, no. 1, p. 37-43, https://doi.org/10.1002/fee.1745.","productDescription":"7 p.","startPage":"37","endPage":"43","ipdsId":"IP-084587","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":350884,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"16","issue":"1","publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationDate":"2018-01-10","publicationStatus":"PW","scienceBaseUri":"5a743583e4b0a9a2e9e25c96","contributors":{"authors":[{"text":"Ensign, Scott H.","contributorId":201517,"corporation":false,"usgs":false,"family":"Ensign","given":"Scott","email":"","middleInitial":"H.","affiliations":[{"id":34812,"text":"Aquatic Analysis and Consulting, LLC, 603 Mandy Court, Morehead City, NC 28557","active":true,"usgs":false}],"preferred":false,"id":726270,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Noe, Gregory E. 0000-0002-6661-2646 gnoe@usgs.gov","orcid":"https://orcid.org/0000-0002-6661-2646","contributorId":139100,"corporation":false,"usgs":true,"family":"Noe","given":"Gregory","email":"gnoe@usgs.gov","middleInitial":"E.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":true,"id":726269,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
]}